Update app.py

app.py

@@ -2,35 +2,26 @@
 import os 
 import gradio as gr
 import pandas as pd
-#import pickle
-# from langchain.embeddings.openai import OpenAIEmbeddings
-#import openai
+
 from langchain_openai import OpenAIEmbeddings
 from langchain.text_splitter import CharacterTextSplitter
 from langchain.text_splitter import RecursiveCharacterTextSplitter
-from langchain_community.vectorstores import Chroma
 #from langchain.vectorstores import Chroma
+from langchain_community.vectorstores import Chroma
 from langchain_community.document_loaders import TextLoader
 from langchain_community.chat_models import ChatOpenAI
 # from langchain import PromptTemplate
 from langchain_core.prompts import PromptTemplate
 from langchain.chains import LLMChain
 from langchain_community.llms import OpenAI
-from langchain_community.vectorstores.faiss import FAISS
 #from langchain.vectorstores import FAISS
-
+from langchain_community.vectorstores.faiss import FAISS
 
 #export OPENAI_API_KEY='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'
 
 # Set the OPENAI_API_KEY environment variable directly
 os.environ["OPENAI_API_KEY"] = "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"
 
-# db = faiss.read_index('index.pkl')
-#db = pickle.load('index.pkl')
-# with open('index.pickle', 'rb') as pkl:
-#         doc_embedding = pickle.load(pkl)
-# db.save_local("faiss_index")
-
 # embeddings = OpenAIEmbeddings()
 # OpenAIEmbeddings(openai_api_key=OPENAI_API_KEY)
 
@@ -43,14 +34,9 @@ try:
 except ValidationError as e:
     print(f"Error: {e}")
 
-# Load the FAISS index from the .pkl file
-#with open("index.pkl", "rb") as f:
- #   db = faiss.read_index(f.read())
-#with open("index.pkl", "rb") as f:
-    #db = faiss.deserialize_index(f.read())
 
 #------------------------------------------------------------------------------
-db=FAISS.load_local("faiss_index/faiss_index", embeddings,allow_dangerous_deserialization=True)
+db=FAISS.load_local("faiss_index", embeddings,allow_dangerous_deserialization=True)
 #-----------------------------------------------------------------------------
 def get_response_from_query(db, query, k=3):
 
@@ -58,7 +44,6 @@ def get_response_from_query(db, query, k=3):
 
     docs_page_content = " ".join([d.page_content for d in docs])
 
-    # llm = BardLLM()
     llm = ChatOpenAI(model_name="gpt-3.5-turbo-16k",temperature=0)
 
     prompt = PromptTemplate(